generalized hypergeometric functions
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11—20 of 138 matching pages
11: 16.6 Transformations of Variable
12: 16.4 Argument Unity
13: 35.9 Applications
§35.9 Applications
βΊIn multivariate statistical analysis based on the multivariate normal distribution, the probability density functions of many random matrices are expressible in terms of generalized hypergeometric functions of matrix argument , with and . … βΊIn chemistry, Wei and Eichinger (1993) expresses the probability density functions of macromolecules in terms of generalized hypergeometric functions of matrix argument, and develop asymptotic approximations for these density functions. …14: 16.9 Zeros
§16.9 Zeros
…15: 35.10 Methods of Computation
§35.10 Methods of Computation
… βΊSee Yan (1992) for the and functions of matrix argument in the case , and Bingham et al. (1992) for Monte Carlo simulation on applied to a generalization of the integral (35.5.8). …16: 16.5 Integral Representations and Integrals
§16.5 Integral Representations and Integrals
… βΊwhere the contour of integration separates the poles of , , from those of . … βΊLastly, when the right-hand side of (16.5.1) can be regarded as the definition of the (customarily undefined) left-hand side. … βΊLaplace transforms and inverse Laplace transforms of generalized hypergeometric functions are given in Prudnikov et al. (1992a, §3.38) and Prudnikov et al. (1992b, §3.36). …17: 16.18 Special Cases
§16.18 Special Cases
βΊThe and functions introduced in Chapters 13 and 15, as well as the more general functions introduced in the present chapter, are all special cases of the Meijer -function. … βΊ
16.18.1
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18: 7.11 Relations to Other Functions
19: 16.10 Expansions in Series of Functions
§16.10 Expansions in Series of Functions
… βΊ
16.10.1
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16.10.2
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βΊExpansions of the form are discussed in Miller (1997), and further series of generalized hypergeometric functions are given in Luke (1969b, Chapter 9), Luke (1975, §§5.10.2 and 5.11), and Prudnikov et al. (1990, §§5.3, 6.8–6.9).